{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\research\works\주제41_자산_산재\humanities and social sciences communications\data\code.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}18 Feb 2025, 20:02:11

{com}. tsset id year
{res}{txt}{col 8}panel variable:  {res}id (unbalanced)
{txt}{col 9}time variable:  {res}{col 25}year, 2018 to 2022, but with gaps
{txt}{col 17}delta:  {res}1 unit

{com}. 
. 
. 
. gen ln_real_estate = log( real_estate + 0.01)

. 
. gen ln_public_welfare = log( public_welfare + 0.01)

. 
. gen ln_income = log( income + 0.01)

. 
. gen ln_income_without_public_welfare = log( income_without_public_welfare + 0.01)

. 
. gen ln_consumption = log( consumption)

. 
. gen ln_financial_assets = log( financial_assets+ 0.01)

. 
. gen ln_public_welfare_income_ratio = log( public_welfare_income_ratio + 0.01)

. 
. gen ln_wealth = log( wealth + 0.01)

. xtreg ln_consumption i.homeownership c.ln_public_welfare ln_income_without_public_welfare gender age edu marriage employment time_change disabled family_member i.year, fe
{p 0 6 2}{txt}note: gender omitted because of collinearity{p_end}
{p 0 6 2}note: 2022.year omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    14,607
{txt}Group variable: {res}id{txt}{col 49}Number of groups{col 67}={col 69}{res}     3,294

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0805{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.2936{col 63}{txt}avg{col 67}={col 69}{res}       4.4
{txt}     overall = {res}0.2748{col 63}{txt}max{col 67}={col 69}{res}         5

{txt}{col 49}F({res}13{txt},{res}11300{txt}){col 67}={col 70}{res}    76.07
{txt}corr(u_i, Xb){col 16}= {res}0.2252{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  ln_consumption{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}1.homeownership {c |}{col 34}{res}{space 2} .0403602{col 46}{space 2} .0099892{col 57}{space 1}    4.04{col 66}{space 3}0.000{col 74}{space 4} .0207796{col 87}{space 3} .0599408
{txt}{space 15}ln_public_welfare {c |}{col 34}{res}{space 2}-.0012536{col 46}{space 2} .0005902{col 57}{space 1}   -2.12{col 66}{space 3}0.034{col 74}{space 4}-.0024104{col 87}{space 3}-.0000968
{txt}ln_income_without_public_welfare {c |}{col 34}{res}{space 2} .0113875{col 46}{space 2} .0009251{col 57}{space 1}   12.31{col 66}{space 3}0.000{col 74}{space 4} .0095742{col 87}{space 3} .0132008
{txt}{space 26}gender {c |}{col 34}{res}{space 2}        0{col 46}{txt}  (omitted)
{space 29}age {c |}{col 34}{res}{space 2} .0198097{col 46}{space 2} .0070199{col 57}{space 1}    2.82{col 66}{space 3}0.005{col 74}{space 4} .0060495{col 87}{space 3} .0335698
{txt}{space 29}edu {c |}{col 34}{res}{space 2}-.0294368{col 46}{space 2} .0323764{col 57}{space 1}   -0.91{col 66}{space 3}0.363{col 74}{space 4}-.0929001{col 87}{space 3} .0340265
{txt}{space 24}marriage {c |}{col 34}{res}{space 2} .0650365{col 46}{space 2} .0210008{col 57}{space 1}    3.10{col 66}{space 3}0.002{col 74}{space 4} .0238712{col 87}{space 3} .1062017
{txt}{space 22}employment {c |}{col 34}{res}{space 2}-.0026922{col 46}{space 2} .0040599{col 57}{space 1}   -0.66{col 66}{space 3}0.507{col 74}{space 4}-.0106503{col 87}{space 3}  .005266
{txt}{space 21}time_change {c |}{col 34}{res}{space 2}-.0011242{col 46}{space 2} .0018323{col 57}{space 1}   -0.61{col 66}{space 3}0.540{col 74}{space 4}-.0047159{col 87}{space 3} .0024675
{txt}{space 24}disabled {c |}{col 34}{res}{space 2}-.0912343{col 46}{space 2} .0306724{col 57}{space 1}   -2.97{col 66}{space 3}0.003{col 74}{space 4}-.1513575{col 87}{space 3} -.031111
{txt}{space 19}family_member {c |}{col 34}{res}{space 2} .1305751{col 46}{space 2}  .006154{col 57}{space 1}   21.22{col 66}{space 3}0.000{col 74}{space 4} .1185122{col 87}{space 3}  .142638
{txt}{space 32} {c |}
{space 28}year {c |}
{space 27}2019  {c |}{col 34}{res}{space 2} .0343671{col 46}{space 2} .0054875{col 57}{space 1}    6.26{col 66}{space 3}0.000{col 74}{space 4} .0236105{col 87}{space 3} .0451236
{txt}{space 27}2020  {c |}{col 34}{res}{space 2} .0474072{col 46}{space 2} .0051378{col 57}{space 1}    9.23{col 66}{space 3}0.000{col 74}{space 4} .0373362{col 87}{space 3} .0574782
{txt}{space 27}2021  {c |}{col 34}{res}{space 2} .0567215{col 46}{space 2} .0049228{col 57}{space 1}   11.52{col 66}{space 3}0.000{col 74}{space 4} .0470718{col 87}{space 3} .0663711
{txt}{space 27}2022  {c |}{col 34}{res}{space 2}        0{col 46}{txt}  (omitted)
{space 32} {c |}
{space 27}_cons {c |}{col 34}{res}{space 2} 4.899824{col 46}{space 2} .1401301{col 57}{space 1}   34.97{col 66}{space 3}0.000{col 74}{space 4} 4.625145{col 87}{space 3} 5.174503
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         sigma_u {c |} {res} .46170346
                         {txt}sigma_e {c |} {res}    .19702
                             {txt}rho {c |} {res}  .8459568{txt}   (fraction of variance due to u_i)
{hline 33}{c BT}{hline 64}
F test that all u_i=0: F({res}3293{txt}, {res}11300{txt}) = {res}15.86{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. 
. 
. xtreg ln_consumption c.ln_real_estate c.ln_public_welfare ln_income_without_public_welfare gender age edu marriage employment time_change disabled family_member i.year, fe
{p 0 6 2}{txt}note: gender omitted because of collinearity{p_end}
{p 0 6 2}note: 2022.year omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    14,607
{txt}Group variable: {res}id{txt}{col 49}Number of groups{col 67}={col 69}{res}     3,294

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0818{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.3041{col 63}{txt}avg{col 67}={col 69}{res}       4.4
{txt}     overall = {res}0.2844{col 63}{txt}max{col 67}={col 69}{res}         5

{txt}{col 49}F({res}13{txt},{res}11300{txt}){col 67}={col 70}{res}    77.43
{txt}corr(u_i, Xb){col 16}= {res}0.2341{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  ln_consumption{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}ln_real_estate {c |}{col 34}{res}{space 2} .0035259{col 46}{space 2} .0006179{col 57}{space 1}    5.71{col 66}{space 3}0.000{col 74}{space 4} .0023147{col 87}{space 3} .0047371
{txt}{space 15}ln_public_welfare {c |}{col 34}{res}{space 2}-.0012381{col 46}{space 2} .0005897{col 57}{space 1}   -2.10{col 66}{space 3}0.036{col 74}{space 4} -.002394{col 87}{space 3}-.0000821
{txt}ln_income_without_public_welfare {c |}{col 34}{res}{space 2} .0112543{col 46}{space 2} .0009243{col 57}{space 1}   12.18{col 66}{space 3}0.000{col 74}{space 4} .0094424{col 87}{space 3} .0130662
{txt}{space 26}gender {c |}{col 34}{res}{space 2}        0{col 46}{txt}  (omitted)
{space 29}age {c |}{col 34}{res}{space 2} .0203198{col 46}{space 2} .0070134{col 57}{space 1}    2.90{col 66}{space 3}0.004{col 74}{space 4} .0065724{col 87}{space 3} .0340673
{txt}{space 29}edu {c |}{col 34}{res}{space 2}-.0282914{col 46}{space 2} .0323329{col 57}{space 1}   -0.88{col 66}{space 3}0.382{col 74}{space 4}-.0916695{col 87}{space 3} .0350868
{txt}{space 24}marriage {c |}{col 34}{res}{space 2} .0642796{col 46}{space 2} .0209801{col 57}{space 1}    3.06{col 66}{space 3}0.002{col 74}{space 4}  .023155{col 87}{space 3} .1054042
{txt}{space 22}employment {c |}{col 34}{res}{space 2}-.0029017{col 46}{space 2}  .004057{col 57}{space 1}   -0.72{col 66}{space 3}0.474{col 74}{space 4}-.0108542{col 87}{space 3} .0050508
{txt}{space 21}time_change {c |}{col 34}{res}{space 2}-.0011581{col 46}{space 2} .0018296{col 57}{space 1}   -0.63{col 66}{space 3}0.527{col 74}{space 4}-.0047444{col 87}{space 3} .0024282
{txt}{space 24}disabled {c |}{col 34}{res}{space 2}-.0889751{col 46}{space 2} .0306533{col 57}{space 1}   -2.90{col 66}{space 3}0.004{col 74}{space 4}-.1490609{col 87}{space 3}-.0288893
{txt}{space 19}family_member {c |}{col 34}{res}{space 2} .1308274{col 46}{space 2} .0061384{col 57}{space 1}   21.31{col 66}{space 3}0.000{col 74}{space 4}  .118795{col 87}{space 3} .1428598
{txt}{space 32} {c |}
{space 28}year {c |}
{space 27}2019  {c |}{col 34}{res}{space 2} .0356177{col 46}{space 2} .0054824{col 57}{space 1}    6.50{col 66}{space 3}0.000{col 74}{space 4} .0248712{col 87}{space 3} .0463641
{txt}{space 27}2020  {c |}{col 34}{res}{space 2} .0482936{col 46}{space 2} .0051329{col 57}{space 1}    9.41{col 66}{space 3}0.000{col 74}{space 4} .0382322{col 87}{space 3}  .058355
{txt}{space 27}2021  {c |}{col 34}{res}{space 2} .0570533{col 46}{space 2} .0049179{col 57}{space 1}   11.60{col 66}{space 3}0.000{col 74}{space 4} .0474134{col 87}{space 3} .0666932
{txt}{space 27}2022  {c |}{col 34}{res}{space 2}        0{col 46}{txt}  (omitted)
{space 32} {c |}
{space 27}_cons {c |}{col 34}{res}{space 2} 4.903779{col 46}{space 2} .1400321{col 57}{space 1}   35.02{col 66}{space 3}0.000{col 74}{space 4} 4.629292{col 87}{space 3} 5.178267
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         sigma_u {c |} {res}   .459261
                         {txt}sigma_e {c |} {res} .19687882
                             {txt}rho {c |} {res} .84475741{txt}   (fraction of variance due to u_i)
{hline 33}{c BT}{hline 64}
F test that all u_i=0: F({res}3293{txt}, {res}11300{txt}) = {res}15.64{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. 
. 
. xtreg ln_consumption c.ln_wealth c.ln_public_welfare ln_income_without_public_welfare gender age edu marriage employment time_change disabled family_member i.year, fe
{p 0 6 2}{txt}note: gender omitted because of collinearity{p_end}
{p 0 6 2}note: 2022.year omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    14,607
{txt}Group variable: {res}id{txt}{col 49}Number of groups{col 67}={col 69}{res}     3,294

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0841{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.3041{col 63}{txt}avg{col 67}={col 69}{res}       4.4
{txt}     overall = {res}0.2845{col 63}{txt}max{col 67}={col 69}{res}         5

{txt}{col 49}F({res}13{txt},{res}11300{txt}){col 67}={col 70}{res}    79.81
{txt}corr(u_i, Xb){col 16}= {res}0.2307{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  ln_consumption{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 23}ln_wealth {c |}{col 34}{res}{space 2} .0048001{col 46}{space 2} .0006143{col 57}{space 1}    7.81{col 66}{space 3}0.000{col 74}{space 4} .0035959{col 87}{space 3} .0060043
{txt}{space 15}ln_public_welfare {c |}{col 34}{res}{space 2}-.0012034{col 46}{space 2}  .000589{col 57}{space 1}   -2.04{col 66}{space 3}0.041{col 74}{space 4} -.002358{col 87}{space 3}-.0000488
{txt}ln_income_without_public_welfare {c |}{col 34}{res}{space 2} .0110347{col 46}{space 2} .0009238{col 57}{space 1}   11.94{col 66}{space 3}0.000{col 74}{space 4} .0092238{col 87}{space 3} .0128456
{txt}{space 26}gender {c |}{col 34}{res}{space 2}        0{col 46}{txt}  (omitted)
{space 29}age {c |}{col 34}{res}{space 2} .0205627{col 46}{space 2} .0070046{col 57}{space 1}    2.94{col 66}{space 3}0.003{col 74}{space 4} .0068324{col 87}{space 3}  .034293
{txt}{space 29}edu {c |}{col 34}{res}{space 2}-.0311935{col 46}{space 2} .0322967{col 57}{space 1}   -0.97{col 66}{space 3}0.334{col 74}{space 4}-.0945006{col 87}{space 3} .0321136
{txt}{space 24}marriage {c |}{col 34}{res}{space 2} .0648045{col 46}{space 2} .0209537{col 57}{space 1}    3.09{col 66}{space 3}0.002{col 74}{space 4} .0237315{col 87}{space 3} .1058774
{txt}{space 22}employment {c |}{col 34}{res}{space 2}-.0025719{col 46}{space 2}  .004052{col 57}{space 1}   -0.63{col 66}{space 3}0.526{col 74}{space 4}-.0105145{col 87}{space 3} .0053706
{txt}{space 21}time_change {c |}{col 34}{res}{space 2}-.0013936{col 46}{space 2} .0018277{col 57}{space 1}   -0.76{col 66}{space 3}0.446{col 74}{space 4}-.0049761{col 87}{space 3} .0021889
{txt}{space 24}disabled {c |}{col 34}{res}{space 2}-.0875773{col 46}{space 2} .0306158{col 57}{space 1}   -2.86{col 66}{space 3}0.004{col 74}{space 4}-.1475896{col 87}{space 3}-.0275649
{txt}{space 19}family_member {c |}{col 34}{res}{space 2} .1305816{col 46}{space 2} .0061287{col 57}{space 1}   21.31{col 66}{space 3}0.000{col 74}{space 4} .1185682{col 87}{space 3}  .142595
{txt}{space 32} {c |}
{space 28}year {c |}
{space 27}2019  {c |}{col 34}{res}{space 2} .0356789{col 46}{space 2} .0054752{col 57}{space 1}    6.52{col 66}{space 3}0.000{col 74}{space 4} .0249467{col 87}{space 3} .0464112
{txt}{space 27}2020  {c |}{col 34}{res}{space 2} .0483491{col 46}{space 2} .0051264{col 57}{space 1}    9.43{col 66}{space 3}0.000{col 74}{space 4} .0383006{col 87}{space 3} .0583977
{txt}{space 27}2021  {c |}{col 34}{res}{space 2} .0574379{col 46}{space 2} .0049117{col 57}{space 1}   11.69{col 66}{space 3}0.000{col 74}{space 4}   .04781{col 87}{space 3} .0670657
{txt}{space 27}2022  {c |}{col 34}{res}{space 2}        0{col 46}{txt}  (omitted)
{space 32} {c |}
{space 27}_cons {c |}{col 34}{res}{space 2} 4.906637{col 46}{space 2} .1398545{col 57}{space 1}   35.08{col 66}{space 3}0.000{col 74}{space 4} 4.632497{col 87}{space 3} 5.180776
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         sigma_u {c |} {res} .45888467
                         {txt}sigma_e {c |} {res} .19663182
                             {txt}rho {c |} {res} .84487163{txt}   (fraction of variance due to u_i)
{hline 33}{c BT}{hline 64}
F test that all u_i=0: F({res}3293{txt}, {res}11300{txt}) = {res}15.55{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. 
. 
. xtreg ln_consumption i.homeownership##c.ln_public_welfare ln_income_without_public_welfare gender age edu marriage employment time_change disabled family_member i.year, fe
{p 0 6 2}{txt}note: gender omitted because of collinearity{p_end}
{p 0 6 2}note: 2022.year omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    14,607
{txt}Group variable: {res}id{txt}{col 49}Number of groups{col 67}={col 69}{res}     3,294

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0811{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.3022{col 63}{txt}avg{col 67}={col 69}{res}       4.4
{txt}     overall = {res}0.2829{col 63}{txt}max{col 67}={col 69}{res}         5

{txt}{col 49}F({res}14{txt},{res}11299{txt}){col 67}={col 70}{res}    71.26
{txt}corr(u_i, Xb){col 16}= {res}0.2345{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  ln_consumption{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}1.homeownership {c |}{col 34}{res}{space 2} .0429273{col 46}{space 2} .0100272{col 57}{space 1}    4.28{col 66}{space 3}0.000{col 74}{space 4} .0232723{col 87}{space 3} .0625823
{txt}{space 15}ln_public_welfare {c |}{col 34}{res}{space 2} .0000213{col 46}{space 2} .0007421{col 57}{space 1}    0.03{col 66}{space 3}0.977{col 74}{space 4}-.0014333{col 87}{space 3}  .001476
{txt}{space 32} {c |}
{space 19}homeownership#{c |}
{space 13}c.ln_public_welfare {c |}
{space 30}1  {c |}{col 34}{res}{space 2}-.0022427{col 46}{space 2} .0007919{col 57}{space 1}   -2.83{col 66}{space 3}0.005{col 74}{space 4}-.0037949{col 87}{space 3}-.0006904
{txt}{space 32} {c |}
ln_income_without_public_welfare {c |}{col 34}{res}{space 2} .0113211{col 46}{space 2} .0009251{col 57}{space 1}   12.24{col 66}{space 3}0.000{col 74}{space 4} .0095078{col 87}{space 3} .0131344
{txt}{space 26}gender {c |}{col 34}{res}{space 2}        0{col 46}{txt}  (omitted)
{space 29}age {c |}{col 34}{res}{space 2}  .019448{col 46}{space 2} .0070188{col 57}{space 1}    2.77{col 66}{space 3}0.006{col 74}{space 4} .0056899{col 87}{space 3} .0332061
{txt}{space 29}edu {c |}{col 34}{res}{space 2}-.0276137{col 46}{space 2} .0323727{col 57}{space 1}   -0.85{col 66}{space 3}0.394{col 74}{space 4}-.0910699{col 87}{space 3} .0358424
{txt}{space 24}marriage {c |}{col 34}{res}{space 2} .0639578{col 46}{space 2} .0209978{col 57}{space 1}    3.05{col 66}{space 3}0.002{col 74}{space 4} .0227985{col 87}{space 3}  .105117
{txt}{space 22}employment {c |}{col 34}{res}{space 2}-.0027022{col 46}{space 2} .0040587{col 57}{space 1}   -0.67{col 66}{space 3}0.506{col 74}{space 4}-.0106579{col 87}{space 3} .0052535
{txt}{space 21}time_change {c |}{col 34}{res}{space 2}  -.00082{col 46}{space 2} .0018349{col 57}{space 1}   -0.45{col 66}{space 3}0.655{col 74}{space 4}-.0044168{col 87}{space 3} .0027767
{txt}{space 24}disabled {c |}{col 34}{res}{space 2}-.0897189{col 46}{space 2} .0306675{col 57}{space 1}   -2.93{col 66}{space 3}0.003{col 74}{space 4}-.1498326{col 87}{space 3}-.0296052
{txt}{space 19}family_member {c |}{col 34}{res}{space 2}  .131012{col 46}{space 2}  .006154{col 57}{space 1}   21.29{col 66}{space 3}0.000{col 74}{space 4}  .118949{col 87}{space 3} .1430749
{txt}{space 32} {c |}
{space 28}year {c |}
{space 27}2019  {c |}{col 34}{res}{space 2} .0350572{col 46}{space 2} .0054912{col 57}{space 1}    6.38{col 66}{space 3}0.000{col 74}{space 4} .0242934{col 87}{space 3}  .045821
{txt}{space 27}2020  {c |}{col 34}{res}{space 2} .0477398{col 46}{space 2} .0051376{col 57}{space 1}    9.29{col 66}{space 3}0.000{col 74}{space 4} .0376693{col 87}{space 3} .0578103
{txt}{space 27}2021  {c |}{col 34}{res}{space 2} .0568379{col 46}{space 2} .0049215{col 57}{space 1}   11.55{col 66}{space 3}0.000{col 74}{space 4} .0471909{col 87}{space 3} .0664848
{txt}{space 27}2022  {c |}{col 34}{res}{space 2}        0{col 46}{txt}  (omitted)
{space 32} {c |}
{space 27}_cons {c |}{col 34}{res}{space 2} 4.890705{col 46}{space 2} .1401235{col 57}{space 1}   34.90{col 66}{space 3}0.000{col 74}{space 4} 4.616039{col 87}{space 3} 5.165372
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         sigma_u {c |} {res} .45996125
                         {txt}sigma_e {c |} {res} .19695882
                             {txt}rho {c |} {res} .84505024{txt}   (fraction of variance due to u_i)
{hline 33}{c BT}{hline 64}
F test that all u_i=0: F({res}3293{txt}, {res}11299{txt}) = {res}15.86{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. 
. 
. xtreg ln_consumption c.ln_real_estate##c.ln_public_welfare ln_income_without_public_welfare gender age edu marriage employment time_change disabled family_member i.year, fe
{p 0 6 2}{txt}note: gender omitted because of collinearity{p_end}
{p 0 6 2}note: 2022.year omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    14,607
{txt}Group variable: {res}id{txt}{col 49}Number of groups{col 67}={col 69}{res}     3,294

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0821{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.3112{col 63}{txt}avg{col 67}={col 69}{res}       4.4
{txt}     overall = {res}0.2910{col 63}{txt}max{col 67}={col 69}{res}         5

{txt}{col 49}F({res}14{txt},{res}11299{txt}){col 67}={col 70}{res}    72.15
{txt}corr(u_i, Xb){col 16}= {res}0.2419{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  ln_consumption{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}ln_real_estate {c |}{col 34}{res}{space 2} .0036105{col 46}{space 2} .0006196{col 57}{space 1}    5.83{col 66}{space 3}0.000{col 74}{space 4}  .002396{col 87}{space 3}  .004825
{txt}{space 15}ln_public_welfare {c |}{col 34}{res}{space 2}-.0008809{col 46}{space 2} .0006214{col 57}{space 1}   -1.42{col 66}{space 3}0.156{col 74}{space 4}-.0020989{col 87}{space 3}  .000337
{txt}{space 32} {c |}
{space 16}c.ln_real_estate#{c |}
{space 13}c.ln_public_welfare {c |}{col 34}{res}{space 2}-.0000986{col 46}{space 2} .0000541{col 57}{space 1}   -1.82{col 66}{space 3}0.068{col 74}{space 4}-.0002046{col 87}{space 3} 7.42e-06
{txt}{space 32} {c |}
ln_income_without_public_welfare {c |}{col 34}{res}{space 2} .0111968{col 46}{space 2} .0009248{col 57}{space 1}   12.11{col 66}{space 3}0.000{col 74}{space 4}  .009384{col 87}{space 3} .0130095
{txt}{space 26}gender {c |}{col 34}{res}{space 2}        0{col 46}{txt}  (omitted)
{space 29}age {c |}{col 34}{res}{space 2}  .020105{col 46}{space 2} .0070137{col 57}{space 1}    2.87{col 66}{space 3}0.004{col 74}{space 4}  .006357{col 87}{space 3} .0338531
{txt}{space 29}edu {c |}{col 34}{res}{space 2}-.0265957{col 46}{space 2}  .032343{col 57}{space 1}   -0.82{col 66}{space 3}0.411{col 74}{space 4}-.0899936{col 87}{space 3} .0368021
{txt}{space 24}marriage {c |}{col 34}{res}{space 2} .0638008{col 46}{space 2} .0209796{col 57}{space 1}    3.04{col 66}{space 3}0.002{col 74}{space 4} .0226772{col 87}{space 3} .1049244
{txt}{space 22}employment {c |}{col 34}{res}{space 2} -.002906{col 46}{space 2} .0040566{col 57}{space 1}   -0.72{col 66}{space 3}0.474{col 74}{space 4}-.0108577{col 87}{space 3} .0050457
{txt}{space 21}time_change {c |}{col 34}{res}{space 2}-.0009969{col 46}{space 2} .0018315{col 57}{space 1}   -0.54{col 66}{space 3}0.586{col 74}{space 4} -.004587{col 87}{space 3} .0025933
{txt}{space 24}disabled {c |}{col 34}{res}{space 2}-.0880201{col 46}{space 2} .0306546{col 57}{space 1}   -2.87{col 66}{space 3}0.004{col 74}{space 4}-.1481085{col 87}{space 3}-.0279317
{txt}{space 19}family_member {c |}{col 34}{res}{space 2} .1311761{col 46}{space 2} .0061408{col 57}{space 1}   21.36{col 66}{space 3}0.000{col 74}{space 4} .1191391{col 87}{space 3} .1432131
{txt}{space 32} {c |}
{space 28}year {c |}
{space 27}2019  {c |}{col 34}{res}{space 2} .0359954{col 46}{space 2} .0054858{col 57}{space 1}    6.56{col 66}{space 3}0.000{col 74}{space 4} .0252424{col 87}{space 3} .0467485
{txt}{space 27}2020  {c |}{col 34}{res}{space 2} .0484995{col 46}{space 2} .0051336{col 57}{space 1}    9.45{col 66}{space 3}0.000{col 74}{space 4} .0384367{col 87}{space 3} .0585623
{txt}{space 27}2021  {c |}{col 34}{res}{space 2} .0571066{col 46}{space 2} .0049175{col 57}{space 1}   11.61{col 66}{space 3}0.000{col 74}{space 4} .0474675{col 87}{space 3} .0667457
{txt}{space 27}2022  {c |}{col 34}{res}{space 2}        0{col 46}{txt}  (omitted)
{space 32} {c |}
{space 27}_cons {c |}{col 34}{res}{space 2} 4.896246{col 46}{space 2} .1400787{col 57}{space 1}   34.95{col 66}{space 3}0.000{col 74}{space 4} 4.621668{col 87}{space 3} 5.170825
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         sigma_u {c |} {res} .45781986
                         {txt}sigma_e {c |} {res} .19685858
                             {txt}rho {c |} {res} .84395837{txt}   (fraction of variance due to u_i)
{hline 33}{c BT}{hline 64}
F test that all u_i=0: F({res}3293{txt}, {res}11299{txt}) = {res}15.63{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. 
. 
. xtreg ln_consumption c.ln_wealth##c.ln_public_welfare ln_income_without_public_welfare gender age edu marriage employment time_change disabled family_member i.year, fe
{p 0 6 2}{txt}note: gender omitted because of collinearity{p_end}
{p 0 6 2}note: 2022.year omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    14,607
{txt}Group variable: {res}id{txt}{col 49}Number of groups{col 67}={col 69}{res}     3,294

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0848{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.3161{col 63}{txt}avg{col 67}={col 69}{res}       4.4
{txt}     overall = {res}0.2959{col 63}{txt}max{col 67}={col 69}{res}         5

{txt}{col 49}F({res}14{txt},{res}11299{txt}){col 67}={col 70}{res}    74.82
{txt}corr(u_i, Xb){col 16}= {res}0.2449{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  ln_consumption{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 23}ln_wealth {c |}{col 34}{res}{space 2} .0049388{col 46}{space 2} .0006158{col 57}{space 1}    8.02{col 66}{space 3}0.000{col 74}{space 4} .0037316{col 87}{space 3} .0061459
{txt}{space 15}ln_public_welfare {c |}{col 34}{res}{space 2} -.000321{col 46}{space 2} .0006571{col 57}{space 1}   -0.49{col 66}{space 3}0.625{col 74}{space 4}-.0016091{col 87}{space 3}  .000967
{txt}{space 32} {c |}
{space 1}c.ln_wealth#c.ln_public_welfare {c |}{col 34}{res}{space 2}-.0001778{col 46}{space 2} .0000588{col 57}{space 1}   -3.02{col 66}{space 3}0.002{col 74}{space 4}-.0002931{col 87}{space 3}-.0000626
{txt}{space 32} {c |}
ln_income_without_public_welfare {c |}{col 34}{res}{space 2} .0108865{col 46}{space 2} .0009248{col 57}{space 1}   11.77{col 66}{space 3}0.000{col 74}{space 4} .0090738{col 87}{space 3} .0126993
{txt}{space 26}gender {c |}{col 34}{res}{space 2}        0{col 46}{txt}  (omitted)
{space 29}age {c |}{col 34}{res}{space 2} .0203535{col 46}{space 2} .0070025{col 57}{space 1}    2.91{col 66}{space 3}0.004{col 74}{space 4} .0066275{col 87}{space 3} .0340795
{txt}{space 29}edu {c |}{col 34}{res}{space 2}-.0282496{col 46}{space 2} .0322997{col 57}{space 1}   -0.87{col 66}{space 3}0.382{col 74}{space 4}-.0915626{col 87}{space 3} .0350635
{txt}{space 24}marriage {c |}{col 34}{res}{space 2} .0636079{col 46}{space 2} .0209499{col 57}{space 1}    3.04{col 66}{space 3}0.002{col 74}{space 4} .0225424{col 87}{space 3} .1046734
{txt}{space 22}employment {c |}{col 34}{res}{space 2}-.0026092{col 46}{space 2} .0040505{col 57}{space 1}   -0.64{col 66}{space 3}0.519{col 74}{space 4}-.0105489{col 87}{space 3} .0053305
{txt}{space 21}time_change {c |}{col 34}{res}{space 2}-.0011766{col 46}{space 2} .0018284{col 57}{space 1}   -0.64{col 66}{space 3}0.520{col 74}{space 4}-.0047606{col 87}{space 3} .0024074
{txt}{space 24}disabled {c |}{col 34}{res}{space 2}-.0849428{col 46}{space 2} .0306172{col 57}{space 1}   -2.77{col 66}{space 3}0.006{col 74}{space 4}-.1449578{col 87}{space 3}-.0249278
{txt}{space 19}family_member {c |}{col 34}{res}{space 2} .1311105{col 46}{space 2}  .006129{col 57}{space 1}   21.39{col 66}{space 3}0.000{col 74}{space 4} .1190966{col 87}{space 3} .1431245
{txt}{space 32} {c |}
{space 28}year {c |}
{space 27}2019  {c |}{col 34}{res}{space 2} .0361365{col 46}{space 2} .0054753{col 57}{space 1}    6.60{col 66}{space 3}0.000{col 74}{space 4}  .025404{col 87}{space 3}  .046869
{txt}{space 27}2020  {c |}{col 34}{res}{space 2} .0485386{col 46}{space 2} .0051249{col 57}{space 1}    9.47{col 66}{space 3}0.000{col 74}{space 4} .0384929{col 87}{space 3} .0585843
{txt}{space 27}2021  {c |}{col 34}{res}{space 2}  .057571{col 46}{space 2} .0049102{col 57}{space 1}   11.72{col 66}{space 3}0.000{col 74}{space 4} .0479462{col 87}{space 3} .0671958
{txt}{space 27}2022  {c |}{col 34}{res}{space 2}        0{col 46}{txt}  (omitted)
{space 32} {c |}
{space 27}_cons {c |}{col 34}{res}{space 2} 4.893616{col 46}{space 2} .1398704{col 57}{space 1}   34.99{col 66}{space 3}0.000{col 74}{space 4} 4.619446{col 87}{space 3} 5.167786
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         sigma_u {c |} {res}  .4565536
                         {txt}sigma_e {c |} {res} .19656095
                             {txt}rho {c |} {res}  .8436271{txt}   (fraction of variance due to u_i)
{hline 33}{c BT}{hline 64}
F test that all u_i=0: F({res}3293{txt}, {res}11299{txt}) = {res}15.55{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. 
. 
. 
. 
. 
. 
. xtreg ln_consumption homeownership ln_public_welfare_income_ratio gender age edu marriage employment time_change disabled family_member i.year, fe
{p 0 6 2}{txt}note: gender omitted because of collinearity{p_end}
{p 0 6 2}note: 2022.year omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    14,607
{txt}Group variable: {res}id{txt}{col 49}Number of groups{col 67}={col 69}{res}     3,294

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0695{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.2951{col 63}{txt}avg{col 67}={col 69}{res}       4.4
{txt}     overall = {res}0.2744{col 63}{txt}max{col 67}={col 69}{res}         5

{txt}{col 49}F({res}12{txt},{res}11301{txt}){col 67}={col 70}{res}    70.32
{txt}corr(u_i, Xb){col 16}= {res}0.2325{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                ln_consumption{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}homeownership {c |}{col 32}{res}{space 2} .0385136{col 44}{space 2}  .010047{col 55}{space 1}    3.83{col 64}{space 3}0.000{col 72}{space 4} .0188197{col 85}{space 3} .0582076
{txt}ln_public_welfare_income_ratio {c |}{col 32}{res}{space 2}-.0040354{col 44}{space 2} .0008629{col 55}{space 1}   -4.68{col 64}{space 3}0.000{col 72}{space 4}-.0057267{col 85}{space 3} -.002344
{txt}{space 24}gender {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (omitted)
{space 27}age {c |}{col 32}{res}{space 2} .0192505{col 44}{space 2} .0070611{col 55}{space 1}    2.73{col 64}{space 3}0.006{col 72}{space 4} .0054095{col 85}{space 3} .0330915
{txt}{space 27}edu {c |}{col 32}{res}{space 2}-.0254538{col 44}{space 2} .0325654{col 55}{space 1}   -0.78{col 64}{space 3}0.434{col 72}{space 4}-.0892876{col 85}{space 3}   .03838
{txt}{space 22}marriage {c |}{col 32}{res}{space 2} .0678243{col 44}{space 2} .0211225{col 55}{space 1}    3.21{col 64}{space 3}0.001{col 72}{space 4} .0264205{col 85}{space 3}  .109228
{txt}{space 20}employment {c |}{col 32}{res}{space 2}-.0023515{col 44}{space 2} .0040838{col 55}{space 1}   -0.58{col 64}{space 3}0.565{col 72}{space 4}-.0103565{col 85}{space 3} .0056536
{txt}{space 19}time_change {c |}{col 32}{res}{space 2} -.004135{col 44}{space 2} .0018136{col 55}{space 1}   -2.28{col 64}{space 3}0.023{col 72}{space 4}-.0076899{col 85}{space 3}-.0005801
{txt}{space 22}disabled {c |}{col 32}{res}{space 2}-.0879221{col 44}{space 2} .0308525{col 55}{space 1}   -2.85{col 64}{space 3}0.004{col 72}{space 4}-.1483983{col 85}{space 3}-.0274458
{txt}{space 17}family_member {c |}{col 32}{res}{space 2}  .135481{col 44}{space 2} .0061758{col 55}{space 1}   21.94{col 64}{space 3}0.000{col 72}{space 4} .1233754{col 85}{space 3} .1475865
{txt}{space 30} {c |}
{space 26}year {c |}
{space 25}2019  {c |}{col 32}{res}{space 2} .0227034{col 44}{space 2} .0054311{col 55}{space 1}    4.18{col 64}{space 3}0.000{col 72}{space 4} .0120575{col 85}{space 3} .0333494
{txt}{space 25}2020  {c |}{col 32}{res}{space 2} .0384283{col 44}{space 2} .0051047{col 55}{space 1}    7.53{col 64}{space 3}0.000{col 72}{space 4} .0284222{col 85}{space 3} .0484344
{txt}{space 25}2021  {c |}{col 32}{res}{space 2} .0525785{col 44}{space 2}  .004937{col 55}{space 1}   10.65{col 64}{space 3}0.000{col 72}{space 4} .0429011{col 85}{space 3} .0622559
{txt}{space 25}2022  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (omitted)
{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} 4.966295{col 44}{space 2} .1408255{col 55}{space 1}   35.27{col 64}{space 3}0.000{col 72}{space 4} 4.690253{col 85}{space 3} 5.242337
{txt}{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                       sigma_u {c |} {res} .46201531
                       {txt}sigma_e {c |} {res} .19818541
                           {txt}rho {c |} {res} .84459072{txt}   (fraction of variance due to u_i)
{hline 31}{c BT}{hline 64}
F test that all u_i=0: F({res}3293{txt}, {res}11301{txt}) = {res}16.30{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. 
. 
. xtreg ln_consumption ln_real_estate ln_public_welfare_income_ratio gender age edu marriage employment time_change disabled family_member i.year, fe
{p 0 6 2}{txt}note: gender omitted because of collinearity{p_end}
{p 0 6 2}note: 2022.year omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    14,607
{txt}Group variable: {res}id{txt}{col 49}Number of groups{col 67}={col 69}{res}     3,294

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0711{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.3047{col 63}{txt}avg{col 67}={col 69}{res}       4.4
{txt}     overall = {res}0.2833{col 63}{txt}max{col 67}={col 69}{res}         5

{txt}{col 49}F({res}12{txt},{res}11301{txt}){col 67}={col 70}{res}    72.05
{txt}corr(u_i, Xb){col 16}= {res}0.2392{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                ln_consumption{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}ln_real_estate {c |}{col 32}{res}{space 2} .0036217{col 44}{space 2} .0006214{col 55}{space 1}    5.83{col 64}{space 3}0.000{col 72}{space 4} .0024036{col 85}{space 3} .0048399
{txt}ln_public_welfare_income_ratio {c |}{col 32}{res}{space 2}-.0039994{col 44}{space 2} .0008621{col 55}{space 1}   -4.64{col 64}{space 3}0.000{col 72}{space 4}-.0056893{col 85}{space 3}-.0023096
{txt}{space 24}gender {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (omitted)
{space 27}age {c |}{col 32}{res}{space 2} .0197323{col 44}{space 2} .0070536{col 55}{space 1}    2.80{col 64}{space 3}0.005{col 72}{space 4}  .005906{col 85}{space 3} .0335587
{txt}{space 27}edu {c |}{col 32}{res}{space 2}-.0247388{col 44}{space 2} .0325177{col 55}{space 1}   -0.76{col 64}{space 3}0.447{col 72}{space 4} -.088479{col 85}{space 3} .0390015
{txt}{space 22}marriage {c |}{col 32}{res}{space 2} .0671714{col 44}{space 2} .0210986{col 55}{space 1}    3.18{col 64}{space 3}0.001{col 72}{space 4} .0258144{col 85}{space 3} .1085283
{txt}{space 20}employment {c |}{col 32}{res}{space 2}-.0025655{col 44}{space 2} .0040804{col 55}{space 1}   -0.63{col 64}{space 3}0.530{col 72}{space 4}-.0105638{col 85}{space 3} .0054328
{txt}{space 19}time_change {c |}{col 32}{res}{space 2}-.0041825{col 44}{space 2} .0018102{col 55}{space 1}   -2.31{col 64}{space 3}0.021{col 72}{space 4}-.0077307{col 85}{space 3}-.0006342
{txt}{space 22}disabled {c |}{col 32}{res}{space 2}-.0856295{col 44}{space 2} .0308291{col 55}{space 1}   -2.78{col 64}{space 3}0.005{col 72}{space 4}-.1460599{col 85}{space 3}-.0251991
{txt}{space 17}family_member {c |}{col 32}{res}{space 2} .1355438{col 44}{space 2}   .00616{col 55}{space 1}   22.00{col 64}{space 3}0.000{col 72}{space 4} .1234691{col 85}{space 3} .1476185
{txt}{space 30} {c |}
{space 26}year {c |}
{space 25}2019  {c |}{col 32}{res}{space 2} .0240364{col 44}{space 2} .0054246{col 55}{space 1}    4.43{col 64}{space 3}0.000{col 72}{space 4} .0134032{col 85}{space 3} .0346696
{txt}{space 25}2020  {c |}{col 32}{res}{space 2} .0393726{col 44}{space 2} .0050987{col 55}{space 1}    7.72{col 64}{space 3}0.000{col 72}{space 4} .0293783{col 85}{space 3} .0493669
{txt}{space 25}2021  {c |}{col 32}{res}{space 2} .0529159{col 44}{space 2} .0049312{col 55}{space 1}   10.73{col 64}{space 3}0.000{col 72}{space 4} .0432499{col 85}{space 3} .0625818
{txt}{space 25}2022  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (omitted)
{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} 4.970223{col 44}{space 2} .1407063{col 55}{space 1}   35.32{col 64}{space 3}0.000{col 72}{space 4} 4.694414{col 85}{space 3} 5.246032
{txt}{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                       sigma_u {c |} {res} .45961446
                       {txt}sigma_e {c |} {res} .19801687
                           {txt}rho {c |} {res} .84344292{txt}   (fraction of variance due to u_i)
{hline 31}{c BT}{hline 64}
F test that all u_i=0: F({res}3293{txt}, {res}11301{txt}) = {res}16.05{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. 
. 
. xtreg ln_consumption ln_wealth ln_public_welfare_income_ratio gender age edu marriage employment time_change disabled family_member i.year, fe
{p 0 6 2}{txt}note: gender omitted because of collinearity{p_end}
{p 0 6 2}note: 2022.year omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    14,607
{txt}Group variable: {res}id{txt}{col 49}Number of groups{col 67}={col 69}{res}     3,294

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0738{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.3052{col 63}{txt}avg{col 67}={col 69}{res}       4.4
{txt}     overall = {res}0.2840{col 63}{txt}max{col 67}={col 69}{res}         5

{txt}{col 49}F({res}12{txt},{res}11301{txt}){col 67}={col 70}{res}    75.04
{txt}corr(u_i, Xb){col 16}= {res}0.2362{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                ln_consumption{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}ln_wealth {c |}{col 32}{res}{space 2} .0050694{col 44}{space 2} .0006173{col 55}{space 1}    8.21{col 64}{space 3}0.000{col 72}{space 4} .0038594{col 85}{space 3} .0062794
{txt}ln_public_welfare_income_ratio {c |}{col 32}{res}{space 2}-.0039143{col 44}{space 2} .0008609{col 55}{space 1}   -4.55{col 64}{space 3}0.000{col 72}{space 4}-.0056018{col 85}{space 3}-.0022267
{txt}{space 24}gender {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (omitted)
{space 27}age {c |}{col 32}{res}{space 2} .0199909{col 44}{space 2} .0070433{col 55}{space 1}    2.84{col 64}{space 3}0.005{col 72}{space 4} .0061849{col 85}{space 3} .0337969
{txt}{space 27}edu {c |}{col 32}{res}{space 2}-.0280196{col 44}{space 2} .0324743{col 55}{space 1}   -0.86{col 64}{space 3}0.388{col 72}{space 4} -.091675{col 85}{space 3} .0356358
{txt}{space 22}marriage {c |}{col 32}{res}{space 2} .0677028{col 44}{space 2} .0210674{col 55}{space 1}    3.21{col 64}{space 3}0.001{col 72}{space 4}  .026407{col 85}{space 3} .1089987
{txt}{space 20}employment {c |}{col 32}{res}{space 2}-.0022282{col 44}{space 2} .0040744{col 55}{space 1}   -0.55{col 64}{space 3}0.584{col 72}{space 4}-.0102147{col 85}{space 3} .0057583
{txt}{space 19}time_change {c |}{col 32}{res}{space 2}-.0044004{col 44}{space 2} .0018076{col 55}{space 1}   -2.43{col 64}{space 3}0.015{col 72}{space 4}-.0079436{col 85}{space 3}-.0008572
{txt}{space 22}disabled {c |}{col 32}{res}{space 2}-.0841516{col 44}{space 2} .0307845{col 55}{space 1}   -2.73{col 64}{space 3}0.006{col 72}{space 4}-.1444947{col 85}{space 3}-.0238085
{txt}{space 17}family_member {c |}{col 32}{res}{space 2} .1351371{col 44}{space 2} .0061493{col 55}{space 1}   21.98{col 64}{space 3}0.000{col 72}{space 4} .1230834{col 85}{space 3} .1471908
{txt}{space 30} {c |}
{space 26}year {c |}
{space 25}2019  {c |}{col 32}{res}{space 2} .0243113{col 44}{space 2} .0054167{col 55}{space 1}    4.49{col 64}{space 3}0.000{col 72}{space 4} .0136937{col 85}{space 3} .0349289
{txt}{space 25}2020  {c |}{col 32}{res}{space 2} .0395885{col 44}{space 2} .0050913{col 55}{space 1}    7.78{col 64}{space 3}0.000{col 72}{space 4} .0296087{col 85}{space 3} .0495682
{txt}{space 25}2021  {c |}{col 32}{res}{space 2} .0533842{col 44}{space 2}  .004924{col 55}{space 1}   10.84{col 64}{space 3}0.000{col 72}{space 4} .0437323{col 85}{space 3}  .063036
{txt}{space 25}2022  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (omitted)
{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} 4.972352{col 44}{space 2} .1404955{col 55}{space 1}   35.39{col 64}{space 3}0.000{col 72}{space 4} 4.696957{col 85}{space 3} 5.247748
{txt}{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                       sigma_u {c |} {res} .45907644
                       {txt}sigma_e {c |} {res} .19772511
                           {txt}rho {c |} {res} .84352298{txt}   (fraction of variance due to u_i)
{hline 31}{c BT}{hline 64}
F test that all u_i=0: F({res}3293{txt}, {res}11301{txt}) = {res}15.89{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. 
. 
. xtreg ln_consumption i.homeownership##c.ln_public_welfare_income_ratio gender age edu marriage employment time_change disabled family_member i.year, fe
{p 0 6 2}{txt}note: gender omitted because of collinearity{p_end}
{p 0 6 2}note: 2022.year omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    14,607
{txt}Group variable: {res}id{txt}{col 49}Number of groups{col 67}={col 69}{res}     3,294

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0703{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.3048{col 63}{txt}avg{col 67}={col 69}{res}       4.4
{txt}     overall = {res}0.2836{col 63}{txt}max{col 67}={col 69}{res}         5

{txt}{col 49}F({res}13{txt},{res}11300{txt}){col 67}={col 70}{res}    65.69
{txt}corr(u_i, Xb){col 16}= {res}0.2427{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  ln_consumption{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}1.homeownership {c |}{col 34}{res}{space 2} .0358409{col 46}{space 2} .0100809{col 57}{space 1}    3.56{col 66}{space 3}0.000{col 74}{space 4} .0160806{col 87}{space 3} .0556011
{txt}{space 2}ln_public_welfare_income_ratio {c |}{col 34}{res}{space 2}-.0020655{col 46}{space 2} .0010746{col 57}{space 1}   -1.92{col 66}{space 3}0.055{col 74}{space 4} -.004172{col 87}{space 3}  .000041
{txt}{space 32} {c |}
{space 19}homeownership#{c |}
c.ln_public_welfare_income_ratio {c |}
{space 30}1  {c |}{col 34}{res}{space 2}-.0036187{col 46}{space 2} .0011775{col 57}{space 1}   -3.07{col 66}{space 3}0.002{col 74}{space 4}-.0059269{col 87}{space 3}-.0013106
{txt}{space 32} {c |}
{space 26}gender {c |}{col 34}{res}{space 2}        0{col 46}{txt}  (omitted)
{space 29}age {c |}{col 34}{res}{space 2}   .01877{col 46}{space 2} .0070602{col 57}{space 1}    2.66{col 66}{space 3}0.008{col 74}{space 4} .0049308{col 87}{space 3} .0326092
{txt}{space 29}edu {c |}{col 34}{res}{space 2}-.0233765{col 46}{space 2} .0325602{col 57}{space 1}   -0.72{col 66}{space 3}0.473{col 74}{space 4}-.0872002{col 87}{space 3} .0404472
{txt}{space 24}marriage {c |}{col 34}{res}{space 2} .0667841{col 46}{space 2} .0211173{col 57}{space 1}    3.16{col 66}{space 3}0.002{col 74}{space 4} .0253905{col 87}{space 3} .1081776
{txt}{space 22}employment {c |}{col 34}{res}{space 2}-.0023766{col 46}{space 2} .0040823{col 57}{space 1}   -0.58{col 66}{space 3}0.560{col 74}{space 4}-.0103787{col 87}{space 3} .0056255
{txt}{space 21}time_change {c |}{col 34}{res}{space 2}-.0038561{col 46}{space 2} .0018151{col 57}{space 1}   -2.12{col 66}{space 3}0.034{col 74}{space 4}-.0074141{col 87}{space 3}-.0002981
{txt}{space 24}disabled {c |}{col 34}{res}{space 2}-.0866096{col 46}{space 2} .0308439{col 57}{space 1}   -2.81{col 66}{space 3}0.005{col 74}{space 4} -.147069{col 87}{space 3}-.0261501
{txt}{space 19}family_member {c |}{col 34}{res}{space 2} .1358638{col 46}{space 2} .0061747{col 57}{space 1}   22.00{col 66}{space 3}0.000{col 74}{space 4} .1237603{col 87}{space 3} .1479673
{txt}{space 32} {c |}
{space 28}year {c |}
{space 27}2019  {c |}{col 34}{res}{space 2} .0232931{col 46}{space 2} .0054325{col 57}{space 1}    4.29{col 66}{space 3}0.000{col 74}{space 4} .0126445{col 87}{space 3} .0339418
{txt}{space 27}2020  {c |}{col 34}{res}{space 2} .0386619{col 46}{space 2} .0051034{col 57}{space 1}    7.58{col 66}{space 3}0.000{col 74}{space 4} .0286584{col 87}{space 3} .0486654
{txt}{space 27}2021  {c |}{col 34}{res}{space 2} .0526347{col 46}{space 2} .0049352{col 57}{space 1}   10.67{col 66}{space 3}0.000{col 74}{space 4} .0429608{col 87}{space 3} .0623085
{txt}{space 27}2022  {c |}{col 34}{res}{space 2}        0{col 46}{txt}  (omitted)
{space 32} {c |}
{space 27}_cons {c |}{col 34}{res}{space 2} 4.959131{col 46}{space 2} .1407922{col 57}{space 1}   35.22{col 66}{space 3}0.000{col 74}{space 4} 4.683154{col 87}{space 3} 5.235108
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         sigma_u {c |} {res} .46003711
                         {txt}sigma_e {c |} {res} .19811141
                             {txt}rho {c |} {res} .84355957{txt}   (fraction of variance due to u_i)
{hline 33}{c BT}{hline 64}
F test that all u_i=0: F({res}3293{txt}, {res}11300{txt}) = {res}16.31{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. 
. 
. xtreg ln_consumption c.ln_real_estate##c.ln_public_welfare_income_ratio gender age edu marriage employment time_change disabled family_member i.year, fe
{p 0 6 2}{txt}note: gender omitted because of collinearity{p_end}
{p 0 6 2}note: 2022.year omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    14,607
{txt}Group variable: {res}id{txt}{col 49}Number of groups{col 67}={col 69}{res}     3,294

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0714{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.3133{col 63}{txt}avg{col 67}={col 69}{res}       4.4
{txt}     overall = {res}0.2913{col 63}{txt}max{col 67}={col 69}{res}         5

{txt}{col 49}F({res}13{txt},{res}11300{txt}){col 67}={col 70}{res}    66.88
{txt}corr(u_i, Xb){col 16}= {res}0.2484{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  ln_consumption{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}ln_real_estate {c |}{col 34}{res}{space 2} .0034651{col 46}{space 2} .0006256{col 57}{space 1}    5.54{col 66}{space 3}0.000{col 74}{space 4} .0022388{col 87}{space 3} .0046913
{txt}{space 2}ln_public_welfare_income_ratio {c |}{col 34}{res}{space 2}-.0034357{col 46}{space 2} .0009008{col 57}{space 1}   -3.81{col 66}{space 3}0.000{col 74}{space 4}-.0052015{col 87}{space 3}  -.00167
{txt}{space 32} {c |}
{space 16}c.ln_real_estate#{c |}
c.ln_public_welfare_income_ratio {c |}{col 34}{res}{space 2}-.0001732{col 46}{space 2} .0000804{col 57}{space 1}   -2.15{col 66}{space 3}0.031{col 74}{space 4}-.0003308{col 87}{space 3}-.0000156
{txt}{space 32} {c |}
{space 26}gender {c |}{col 34}{res}{space 2}        0{col 46}{txt}  (omitted)
{space 29}age {c |}{col 34}{res}{space 2} .0194283{col 46}{space 2} .0070539{col 57}{space 1}    2.75{col 66}{space 3}0.006{col 74}{space 4} .0056014{col 87}{space 3} .0332552
{txt}{space 29}edu {c |}{col 34}{res}{space 2}-.0226698{col 46}{space 2} .0325266{col 57}{space 1}   -0.70{col 66}{space 3}0.486{col 74}{space 4}-.0864276{col 87}{space 3}  .041088
{txt}{space 24}marriage {c |}{col 34}{res}{space 2} .0666987{col 46}{space 2} .0210964{col 57}{space 1}    3.16{col 66}{space 3}0.002{col 74}{space 4} .0253462{col 87}{space 3} .1080513
{txt}{space 22}employment {c |}{col 34}{res}{space 2}-.0025846{col 46}{space 2} .0040798{col 57}{space 1}   -0.63{col 66}{space 3}0.526{col 74}{space 4}-.0105816{col 87}{space 3} .0054124
{txt}{space 21}time_change {c |}{col 34}{res}{space 2}-.0040337{col 46}{space 2} .0018112{col 57}{space 1}   -2.23{col 66}{space 3}0.026{col 74}{space 4} -.007584{col 87}{space 3}-.0004834
{txt}{space 24}disabled {c |}{col 34}{res}{space 2}-.0846654{col 46}{space 2} .0308274{col 57}{space 1}   -2.75{col 66}{space 3}0.006{col 74}{space 4}-.1450925{col 87}{space 3}-.0242384
{txt}{space 19}family_member {c |}{col 34}{res}{space 2}  .135865{col 46}{space 2} .0061608{col 57}{space 1}   22.05{col 66}{space 3}0.000{col 74}{space 4} .1237887{col 87}{space 3} .1479413
{txt}{space 32} {c |}
{space 28}year {c |}
{space 27}2019  {c |}{col 34}{res}{space 2} .0243655{col 46}{space 2} .0054259{col 57}{space 1}    4.49{col 66}{space 3}0.000{col 74}{space 4} .0137298{col 87}{space 3} .0350012
{txt}{space 27}2020  {c |}{col 34}{res}{space 2} .0395258{col 46}{space 2} .0050983{col 57}{space 1}    7.75{col 66}{space 3}0.000{col 74}{space 4} .0295321{col 87}{space 3} .0495194
{txt}{space 27}2021  {c |}{col 34}{res}{space 2} .0529249{col 46}{space 2} .0049304{col 57}{space 1}   10.73{col 66}{space 3}0.000{col 74}{space 4} .0432605{col 87}{space 3} .0625893
{txt}{space 27}2022  {c |}{col 34}{res}{space 2}        0{col 46}{txt}  (omitted)
{space 32} {c |}
{space 27}_cons {c |}{col 34}{res}{space 2} 4.961917{col 46}{space 2} .1407365{col 57}{space 1}   35.26{col 66}{space 3}0.000{col 74}{space 4} 4.686049{col 87}{space 3} 5.237785
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         sigma_u {c |} {res} .45785704
                         {txt}sigma_e {c |} {res} .19798497
                             {txt}rho {c |} {res} .84247127{txt}   (fraction of variance due to u_i)
{hline 33}{c BT}{hline 64}
F test that all u_i=0: F({res}3293{txt}, {res}11300{txt}) = {res}16.05{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. 
. 
. xtreg ln_consumption c.ln_wealth##c.ln_public_welfare_income_ratio gender age edu marriage employment time_change disabled family_member i.year, fe
{p 0 6 2}{txt}note: gender omitted because of collinearity{p_end}
{p 0 6 2}note: 2022.year omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}    14,607
{txt}Group variable: {res}id{txt}{col 49}Number of groups{col 67}={col 69}{res}     3,294

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0748{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.3193{col 63}{txt}avg{col 67}={col 69}{res}       4.4
{txt}     overall = {res}0.2973{col 63}{txt}max{col 67}={col 69}{res}         5

{txt}{col 49}F({res}13{txt},{res}11300{txt}){col 67}={col 70}{res}    70.25
{txt}corr(u_i, Xb){col 16}= {res}0.2523{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  ln_consumption{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 23}ln_wealth {c |}{col 34}{res}{space 2} .0047922{col 46}{space 2} .0006222{col 57}{space 1}    7.70{col 66}{space 3}0.000{col 74}{space 4} .0035726{col 87}{space 3} .0060119
{txt}{space 2}ln_public_welfare_income_ratio {c |}{col 34}{res}{space 2}-.0025631{col 46}{space 2} .0009453{col 57}{space 1}   -2.71{col 66}{space 3}0.007{col 74}{space 4}-.0044162{col 87}{space 3}-.0007101
{txt}{space 32} {c |}
{space 21}c.ln_wealth#{c |}
c.ln_public_welfare_income_ratio {c |}{col 34}{res}{space 2}-.0002986{col 46}{space 2} .0000865{col 57}{space 1}   -3.45{col 66}{space 3}0.001{col 74}{space 4}-.0004682{col 87}{space 3} -.000129
{txt}{space 32} {c |}
{space 26}gender {c |}{col 34}{res}{space 2}        0{col 46}{txt}  (omitted)
{space 29}age {c |}{col 34}{res}{space 2} .0196643{col 46}{space 2} .0070405{col 57}{space 1}    2.79{col 66}{space 3}0.005{col 74}{space 4} .0058637{col 87}{space 3} .0334649
{txt}{space 29}edu {c |}{col 34}{res}{space 2} -.024596{col 46}{space 2} .0324738{col 57}{space 1}   -0.76{col 66}{space 3}0.449{col 74}{space 4}-.0882504{col 87}{space 3} .0390583
{txt}{space 24}marriage {c |}{col 34}{res}{space 2} .0664539{col 46}{space 2} .0210604{col 57}{space 1}    3.16{col 66}{space 3}0.002{col 74}{space 4} .0251719{col 87}{space 3} .1077359
{txt}{space 22}employment {c |}{col 34}{res}{space 2}-.0022809{col 46}{space 2} .0040724{col 57}{space 1}   -0.56{col 66}{space 3}0.575{col 74}{space 4}-.0102636{col 87}{space 3} .0057018
{txt}{space 21}time_change {c |}{col 34}{res}{space 2}-.0042553{col 46}{space 2} .0018072{col 57}{space 1}   -2.35{col 66}{space 3}0.019{col 74}{space 4}-.0077977{col 87}{space 3}-.0007128
{txt}{space 24}disabled {c |}{col 34}{res}{space 2}-.0814442{col 46}{space 2} .0307797{col 57}{space 1}   -2.65{col 66}{space 3}0.008{col 74}{space 4}-.1417777{col 87}{space 3}-.0211106
{txt}{space 19}family_member {c |}{col 34}{res}{space 2} .1355679{col 46}{space 2} .0061476{col 57}{space 1}   22.05{col 66}{space 3}0.000{col 74}{space 4} .1235175{col 87}{space 3} .1476183
{txt}{space 32} {c |}
{space 28}year {c |}
{space 27}2019  {c |}{col 34}{res}{space 2} .0245569{col 46}{space 2} .0054145{col 57}{space 1}    4.54{col 66}{space 3}0.000{col 74}{space 4} .0139436{col 87}{space 3} .0351703
{txt}{space 27}2020  {c |}{col 34}{res}{space 2} .0395954{col 46}{space 2} .0050888{col 57}{space 1}    7.78{col 66}{space 3}0.000{col 74}{space 4} .0296204{col 87}{space 3} .0495703
{txt}{space 27}2021  {c |}{col 34}{res}{space 2} .0534188{col 46}{space 2} .0049216{col 57}{space 1}   10.85{col 66}{space 3}0.000{col 74}{space 4} .0437716{col 87}{space 3} .0630659
{txt}{space 27}2022  {c |}{col 34}{res}{space 2}        0{col 46}{txt}  (omitted)
{space 32} {c |}
{space 27}_cons {c |}{col 34}{res}{space 2} 4.959048{col 46}{space 2} .1404806{col 57}{space 1}   35.30{col 66}{space 3}0.000{col 74}{space 4} 4.683682{col 87}{space 3} 5.234415
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         sigma_u {c |} {res} .45633094
                         {txt}sigma_e {c |} {res} .19762969
                             {txt}rho {c |} {res} .84206139{txt}   (fraction of variance due to u_i)
{hline 33}{c BT}{hline 64}
F test that all u_i=0: F({res}3293{txt}, {res}11300{txt}) = {res}15.90{col 62}{txt}Prob > F = {res}0.0000

{com}. interflex ln_consumption ln_public_welfare homeownership  ln_income_without_public_welfare gender age edu marriage employment time_change disabled family_member, ylab(Consumption) dlab(Welfare Income) xlab(Homeownership) 
{txt}p value of Wald test: {res}0.0225

{com}. 
. 
. 
. interflex ln_consumption ln_public_welfare ln_real_estate  ln_income_without_public_welfare gender age edu marriage employment time_change disabled family_member, ylab(Consumption) dlab(Welfare Income) xlab(Real Estate)
{txt}p value of Wald test: {res}0.0000

{com}. 
. 
. 
. interflex ln_consumption ln_public_welfare ln_wealth ln_income_without_public_welfare gender age edu marriage employment time_change disabled family_member, ylab(Consumption) dlab(Welfare Income) xlab(Wealth)
{txt}p value of Wald test: {res}0.0000

{com}. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. interflex ln_consumption ln_public_welfare_income_ratio homeownership gender age edu marriage employment time_change disabled family_member, ylab(Consumption) dlab(Welfare Reliance) xlab(Homeownership)
{txt}p value of Wald test: {res}    .

{com}. 
. 
. 
. interflex ln_consumption ln_public_welfare_income_ratio ln_real_estate gender age edu marriage employment time_change disabled family_member, ylab(Consumption) dlab(Welfare Reliance) xlab(Real Estate)
{txt}p value of Wald test: {res}0.0000

{com}. 
. 
. 
. interflex ln_consumption ln_public_welfare_income_ratio ln_wealth gender age edu marriage employment time_change disabled family_member, ylab(Consumption) dlab(Welfare Reliance) xlab(Wealth)
{txt}p value of Wald test: {res}0.0000

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\research\works\주제41_자산_산재\humanities and social sciences communications\data\code.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}18 Feb 2025, 20:02:44
{txt}{.-}
{smcl}
{txt}{sf}{ul off}